GCP Cloud Platform Engineer

🔥 47 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $60 - $80 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

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Ontrac Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2010

🤖 Artificial Intelligence

💼 Consulting

🤝 B2B

Artificial Intelligence • Consulting • B2B

Ontrac Solutions is an AI-first technology services firm that helps organizations design, implement, and scale AI-driven systems, cloud architectures, and enterprise platform integrations. They provide AI strategy and generative AI implementation (including RAG and intelligent search), cloud migration and optimization (multi-cloud architecture, Kubernetes, Terraform, GitOps, and FinOps), data and integration engineering, CRM/CMS/e-commerce platform development, and embedded technical talent / staff augmentation to move AI from experimentation into production. With innovation hubs in Chicago and Karachi, Ontrac focuses on delivering production-ready AI and cloud solutions that drive measurable business outcomes.

📋 Description

• Build and manage GCP infrastructure across core services including Compute, networking, IAM, storage, and GKE. • Support and execute migrations from on-premises or multi-cloud environments into GCP, including lift-and-shift and replatforming strategies. • Implement and maintain infrastructure using Terraform to ensure repeatable, scalable, and production-ready deployments. • Troubleshoot infrastructure and application performance issues while identifying opportunities to improve reliability, efficiency, and cloud cost management. • Partner with engineering, DevOps, and client stakeholders to ensure successful delivery across the full project lifecycle.

🎯 Requirements

• 3–6 years of experience in cloud infrastructure, platform engineering, or DevOps. • Proven hands-on experience working with GCP in production environments, with a strong understanding of Compute Engine, VPC, IAM, and storage. • Experience executing cloud migrations from on-premises or multi-cloud environments into GCP. • Ability to work independently in a contract or client-facing delivery environment. • Strong experience with Terraform preferred. • Exposure to Docker and Kubernetes, including GKE, is highly valuable. • Solid Linux systems knowledge and strong networking fundamentals. • Experience with CI/CD pipelines, infrastructure automation, and scripting in Python or Bash. • Familiarity with monitoring, logging, and cloud cost optimization best practices. • Experience working across hybrid or multi-cloud environments is a plus. • Relevant Google Cloud certification required. • Demonstrated experience working with GCP in live production environments.